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Management Node Selection Based on Cloud Model in a Distributed Network

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Abstract

Network has become an indispensable part of people’s lives. However, network insecurity still has negative impact on the development of network. Trust evaluation is becoming the core of network security enhancement. In distributed network, the node with the highest trust value is often selected as the subnet management node. The traditional distributed trust evaluation frameworks cannot achieve the best effect because of the ignorance of trust value stability of each node. To address this problem, this paper proposes a management node selection method based on cloud model. This method employs the cloud model to analyze the stability of network nodes, and selects the optimal node based on the three numerical features of cloud model. The experiment results show the effectiveness of our method.

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Acknowledgment

The work is supported by NSFC (61571066), and CETC key laboratory of aerospace information applications open project fund.

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Correspondence to Hanyi Tang .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Tang, H., Sun, Q., Li, J. (2018). Management Node Selection Based on Cloud Model in a Distributed Network. In: Romdhani, I., Shu, L., Takahiro, H., Zhou, Z., Gordon, T., Zeng, D. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-030-00916-8_17

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  • DOI: https://doi.org/10.1007/978-3-030-00916-8_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00915-1

  • Online ISBN: 978-3-030-00916-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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